{"id":"W2121745450","doi":"10.1016/j.molonc.2008.07.004","title":"Biobanking for better healthcare","year":2008,"lang":"en","type":"review","venue":"Molecular Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":284,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome Canada","funders":"","keywords":"Biobank; Cancer; Curran; Translational research; Medicine; Health care; Family medicine; Library science; Internal medicine; Political science; Bioinformatics; Pathology; Biology; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03631406,0.001238717,0.002196142,0.004810572,0.00348746,0.01524118,0.003409472,0.007064568,0.06104921],"category_scores_gemma":[0.06905236,0.0009743478,0.001993696,0.006559807,0.00569813,0.02204086,0.01662703,0.01418084,0.04860733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007039005,"about_ca_system_score_gemma":0.02447592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004204537,"about_ca_topic_score_gemma":0.00229024,"domain_scores_codex":[0.9783627,0.01087086,0.002074752,0.003293409,0.003885142,0.00151313],"domain_scores_gemma":[0.9419678,0.01006631,0.005476051,0.0189671,0.0129707,0.01055207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001816311,0.0001061378,0.00296289,0.0007210261,0.0001911425,0.0001890815,0.0009882976,0.0003485424,0.0008147132,0.09667143,0.6877623,0.2090628],"study_design_scores_gemma":[0.00005144227,0.00004120722,0.002172421,0.001586531,0.00003390328,0.0002608938,0.0006696325,0.0002215472,0.0002930182,0.1050119,0.8896137,0.00004373062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.003833143,0.05936887,0.06145775,0.7591397,0.01801423,0.0006404282,0.007024704,0.002414664,0.08810649],"genre_scores_gemma":[0.09923515,0.1351294,0.2339272,0.3619668,0.03398029,0.002727814,0.03422697,0.003634657,0.09517182],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.06104921,"threshold_uncertainty_score":0.20423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03996312241057338,"score_gpt":0.3698264226579928,"score_spread":0.3298633002474194,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}